Systematic LLM Prompt Engineering Using DSPy Optimization

Systematic LLM Prompt Engineering Using DSPy Optimization

Towards Data Science (Robert Martin-Short)

This article is a journey into the fascinating and rapidly evolving science of LLM prompt iteration, which is a fundamental part of Large Language Model Operations (LLMOPs). We’ll use the example of generating customer service responses with a real-world dataset to show how both generator and LLM-judge prompts can be developed in a systematic fashion […]

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